Overview

Dataset statistics

Number of variables11
Number of observations165
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.0 KiB
Average record size in memory92.8 B

Variable types

Numeric2
Text1
DateTime2
Categorical6

Dataset

Description부산광역시_기장군_정보화교육현황_20221020
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3044324

Alerts

인원 has constant value ""Constant
요일 is highly overall correlated with 일수 and 1 other fieldsHigh correlation
일수 is highly overall correlated with 요일 and 1 other fieldsHigh correlation
시간(종료시간) is highly overall correlated with 시간(시작시간) and 1 other fieldsHigh correlation
비고 is highly overall correlated with 연번 and 5 other fieldsHigh correlation
시간(시작시간) is highly overall correlated with 시간(종료시간) and 1 other fieldsHigh correlation
연번 is highly overall correlated with 월 and 1 other fieldsHigh correlation
월 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:57:56.810541
Analysis finished2023-12-10 16:57:58.616694
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83
Minimum1
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T01:57:58.702535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.2
Q142
median83
Q3124
95-th percentile156.8
Maximum165
Range164
Interquartile range (IQR)82

Descriptive statistics

Standard deviation47.775517
Coefficient of variation (CV)0.57560864
Kurtosis-1.2
Mean83
Median Absolute Deviation (MAD)41
Skewness0
Sum13695
Variance2282.5
MonotonicityStrictly increasing
2023-12-11T01:57:58.908881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
105 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
Other values (155) 155
93.9%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%

월
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2969697
Minimum4
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T01:57:59.072823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q15
median7
Q39
95-th percentile11
Maximum11
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.1162099
Coefficient of variation (CV)0.29001216
Kurtosis-1.1310835
Mean7.2969697
Median Absolute Deviation (MAD)2
Skewness0.048424795
Sum1204
Variance4.4783444
MonotonicityIncreasing
2023-12-11T01:57:59.200357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 24
14.5%
7 24
14.5%
8 23
13.9%
6 22
13.3%
9 22
13.3%
10 22
13.3%
4 18
10.9%
11 10
6.1%
ValueCountFrequency (%)
4 18
10.9%
5 24
14.5%
6 22
13.3%
7 24
14.5%
8 23
13.9%
9 22
13.3%
10 22
13.3%
11 10
6.1%
ValueCountFrequency (%)
11 10
6.1%
10 22
13.3%
9 22
13.3%
8 23
13.9%
7 24
14.5%
6 22
13.3%
5 24
14.5%
4 18
10.9%

과정명
Text

Distinct106
Distinct (%)64.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T01:57:59.485388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length21.842424
Min length6

Characters and Unicode

Total characters3604
Distinct characters215
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)44.8%

Sample

1st row나도 유튜브 크리에이터1
2nd row또 하나의 세상 메타버스
3rd row왕초보 컴퓨터 배우기
4th row나도 스프레드시트 전문가1
5th row디지털학습 준비하기
ValueCountFrequency (%)
나도 53
 
8.4%
유튜브 23
 
3.6%
스마트폰 21
 
3.3%
인터넷 15
 
2.4%
스마트한 15
 
2.4%
메타버스(제페토 11
 
1.7%
또 10
 
1.6%
컴퓨터 10
 
1.6%
세상 10
 
1.6%
하나의 10
 
1.6%
Other values (181) 455
71.9%
2023-12-11T01:57:59.945075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
469
 
13.0%
) 140
 
3.9%
( 140
 
3.9%
이 108
 
3.0%
스 100
 
2.8%
기 73
 
2.0%
트 70
 
1.9%
나 63
 
1.7%
도 60
 
1.7%
, 59
 
1.6%
Other values (205) 2322
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2682
74.4%
Space Separator 469
 
13.0%
Close Punctuation 140
 
3.9%
Open Punctuation 140
 
3.9%
Decimal Number 82
 
2.3%
Other Punctuation 63
 
1.7%
Uppercase Letter 17
 
0.5%
Dash Punctuation 11
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 108
 
4.0%
스 100
 
3.7%
기 73
 
2.7%
트 70
 
2.6%
나 63
 
2.3%
도 60
 
2.2%
마 55
 
2.1%
터 54
 
2.0%
가 51
 
1.9%
인 51
 
1.9%
Other values (185) 1997
74.5%
Uppercase Letter
ValueCountFrequency (%)
S 4
23.5%
T 3
17.6%
N 2
11.8%
B 1
 
5.9%
M 1
 
5.9%
G 1
 
5.9%
Y 1
 
5.9%
V 1
 
5.9%
X 1
 
5.9%
O 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 42
51.2%
2 34
41.5%
4 6
 
7.3%
Other Punctuation
ValueCountFrequency (%)
, 59
93.7%
? 4
 
6.3%
Space Separator
ValueCountFrequency (%)
469
100.0%
Close Punctuation
ValueCountFrequency (%)
) 140
100.0%
Open Punctuation
ValueCountFrequency (%)
( 140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2682
74.4%
Common 905
 
25.1%
Latin 17
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 108
 
4.0%
스 100
 
3.7%
기 73
 
2.7%
트 70
 
2.6%
나 63
 
2.3%
도 60
 
2.2%
마 55
 
2.1%
터 54
 
2.0%
가 51
 
1.9%
인 51
 
1.9%
Other values (185) 1997
74.5%
Latin
ValueCountFrequency (%)
S 4
23.5%
T 3
17.6%
N 2
11.8%
B 1
 
5.9%
M 1
 
5.9%
G 1
 
5.9%
Y 1
 
5.9%
V 1
 
5.9%
X 1
 
5.9%
O 1
 
5.9%
Common
ValueCountFrequency (%)
469
51.8%
) 140
 
15.5%
( 140
 
15.5%
, 59
 
6.5%
1 42
 
4.6%
2 34
 
3.8%
- 11
 
1.2%
4 6
 
0.7%
? 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2682
74.4%
ASCII 922
 
25.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
469
50.9%
) 140
 
15.2%
( 140
 
15.2%
, 59
 
6.4%
1 42
 
4.6%
2 34
 
3.7%
- 11
 
1.2%
4 6
 
0.7%
? 4
 
0.4%
S 4
 
0.4%
Other values (10) 13
 
1.4%
Hangul
ValueCountFrequency (%)
이 108
 
4.0%
스 100
 
3.7%
기 73
 
2.7%
트 70
 
2.6%
나 63
 
2.3%
도 60
 
2.2%
마 55
 
2.1%
터 54
 
2.0%
가 51
 
1.9%
인 51
 
1.9%
Other values (185) 1997
74.5%

기간(시작일)
Date

Distinct85
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2022-04-11 00:00:00
Maximum2022-11-11 00:00:00
2023-12-11T01:58:00.110275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:58:00.259063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기간(종료일)
Date

Distinct85
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2022-04-12 00:00:00
Maximum2022-11-11 00:00:00
2023-12-11T01:58:00.483294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:58:00.718910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시간(시작시간)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
10:00:00
85 
13:30:00
80 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10:00:00
2nd row13:30:00
3rd row10:00:00
4th row13:30:00
5th row10:00:00

Common Values

ValueCountFrequency (%)
10:00:00 85
51.5%
13:30:00 80
48.5%

Length

2023-12-11T01:58:00.941431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:58:01.077700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10:00:00 85
51.5%
13:30:00 80
48.5%

시간(종료시간)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
12:00:00
85 
16:30:00
69 
15:30:00
11 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12:00:00
2nd row16:30:00
3rd row12:00:00
4th row16:30:00
5th row12:00:00

Common Values

ValueCountFrequency (%)
12:00:00 85
51.5%
16:30:00 69
41.8%
15:30:00 11
 
6.7%

Length

2023-12-11T01:58:01.197408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:58:01.401362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12:00:00 85
51.5%
16:30:00 69
41.8%
15:30:00 11
 
6.7%

요일
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
월~화
47 
수~목
46 
금
39 
목~금
14 
화~수
10 
Other values (4)
9 

Length

Max length3
Median length3
Mean length2.4424242
Min length1

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st row월~화
2nd row월~화
3rd row수~목
4th row수~목
5th row금

Common Values

ValueCountFrequency (%)
월~화 47
28.5%
수~목 46
27.9%
금 39
23.6%
목~금 14
 
8.5%
화~수 10
 
6.1%
월 5
 
3.0%
수~금 2
 
1.2%
화 1
 
0.6%
수 1
 
0.6%

Length

2023-12-11T01:58:01.566444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:58:01.755432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월~화 47
28.5%
수~목 46
27.9%
금 39
23.6%
목~금 14
 
8.5%
화~수 10
 
6.1%
월 5
 
3.0%
수~금 2
 
1.2%
화 1
 
0.6%
수 1
 
0.6%

일수
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2
118 
1
46 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row1

Common Values

ValueCountFrequency (%)
2 118
71.5%
1 46
 
27.9%
3 1
 
0.6%

Length

2023-12-11T01:58:01.952489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:58:02.084826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 118
71.5%
1 46
 
27.9%
3 1
 
0.6%

인원
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
0
165 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 165
100.0%

Length

2023-12-11T01:58:02.213978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:58:02.331614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 165
100.0%

비고
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
120 
온라인
45 

Length

Max length4
Median length4
Mean length3.7272727
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row온라인
2nd row온라인
3rd row온라인
4th row온라인
5th row온라인

Common Values

ValueCountFrequency (%)
<NA> 120
72.7%
온라인 45
 
27.3%

Length

2023-12-11T01:58:02.463205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:58:02.602533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 120
72.7%
온라인 45
 
27.3%

Interactions

2023-12-11T01:57:57.950296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:57.676771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:58.062416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:57.821297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:58:02.699803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번월기간(시작일)기간(종료일)시간(시작시간)시간(종료시간)요일일수
연번1.0000.9490.9980.9980.0000.0000.3430.000
월0.9491.0001.0001.0000.0000.1710.1910.000
기간(시작일)0.9981.0001.0001.0000.0000.0000.9990.886
기간(종료일)0.9981.0001.0001.0000.0000.0000.9950.886
시간(시작시간)0.0000.0000.0000.0001.0001.0000.0000.000
시간(종료시간)0.0000.1710.0000.0001.0001.0000.5270.660
요일0.3430.1910.9990.9950.0000.5271.0000.940
일수0.0000.0000.8860.8860.0000.6600.9401.000
2023-12-11T01:58:02.872820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
요일일수시간(종료시간)비고시간(시작시간)
요일1.0000.6990.2671.0000.000
일수0.6991.0000.3201.0000.000
시간(종료시간)0.2670.3201.0001.0000.997
비고1.0001.0001.0001.0001.000
시간(시작시간)0.0000.0000.9971.0001.000
2023-12-11T01:58:03.326729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번월시간(시작시간)시간(종료시간)요일일수비고
연번1.0000.9910.0000.0000.1610.0001.000
월0.9911.0000.0000.1060.0930.0001.000
시간(시작시간)0.0000.0001.0000.9970.0000.0001.000
시간(종료시간)0.0000.1060.9971.0000.2670.3201.000
요일0.1610.0930.0000.2671.0000.6991.000
일수0.0000.0000.0000.3200.6991.0001.000
비고1.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-11T01:57:58.298969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:57:58.531990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번월과정명기간(시작일)기간(종료일)시간(시작시간)시간(종료시간)요일일수인원비고
014나도 유튜브 크리에이터12022-04-112022-04-1210:00:0012:00:00월~화20온라인
124또 하나의 세상 메타버스2022-04-112022-04-1213:30:0016:30:00월~화20온라인
234왕초보 컴퓨터 배우기2022-04-132022-04-1410:00:0012:00:00수~목20온라인
344나도 스프레드시트 전문가12022-04-132022-04-1413:30:0016:30:00수~목20온라인
454디지털학습 준비하기2022-04-152022-04-1510:00:0012:00:00금10온라인
564정부24 민원 활용 가이드2022-04-152022-04-1513:30:0016:30:00금10온라인
674스마트폰 완전 정복2022-04-182022-04-1910:00:0012:00:00월~화20온라인
784온라인 쇼핑몰 창업(네이버모두)2022-04-182022-04-1913:30:0016:30:00월~화20온라인
894카드 뉴스 만들기2022-04-202022-04-2110:00:0012:00:00수~목20온라인
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